Neuron Explorer

Qwen3-0.6B

words after 'list of' or 'number of'

A neuron in layer 13 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron is unclear and mixed. It tends to light up on the word right after a phrase like 'list of', 'number of' or '1000's of', where a noun or description is expected next. Turning it up did not produce a clear theme in the sample text.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. Think it is wrong? Flag it (opens a prefilled issue on GitHub).

Fires most on

The text windows where this neuron's activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

  1. #1 peak

    0a), and yet most biological movements involve a large number of degrees of freedom (in a rigid arm this number is directly related to the number and type of joints). An extreme case with especially high degrees of freedom is given by systems in which

  2. #2 peak

    scientist Dr. Robert Rose, the lead author of the study. “To that end, we sought out the top thought leaders in conservation and the remote sensing community to identify the best conservation applications of these data.”⏎“Collaborations such as these

  3. #3 peak

    may show some surprising uniformity in the way that micro-organisms are constructed, giving support for the lateral method of adaptation.<|endoftext|>||This article includes a list of references, but its sources remain unclear because it has insufficient inline citations. (May

  4. #4 peak

    that the client will prefer something over nothing. However, when the 406 Not Acceptable response is returned, the message body will contain a list of available representations that the client can choose from.⏎Search engines like Google will not index a

  5. #5 peak

    nature of that conflict.⏎The main memorial, just outside Stornoway, lists just over 1,500 names on 23 bronze plaques. It was erected in 1923, and inaugurated by the

  6. #6 peak

    of the beauty of Physics! With 10,000 words, 30 experiments and almost 100 cartoons and illustrations, ‘Fizzyx For Fun’

Steering

Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.

turned down a lot
Prompt

Here is something I have been thinking about lately: I have a good friend. I have a good friend, and I have a good friend. I have a good friend. I have a good friend. I have a good friend, and I have a good friend. I have a good

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

  1. #1 peak

    from 0 to 9. We then place a 6 as the first "leaf" in that column. We repeat this process for each value in our dataset. In the end, we will get a stem-and-leaf plot like the

  2. #2 peak

    then be controlled by exposure to electrical current.⏎Semiconductors are the individual "on-off" switches that make up a electronic devices. By only allowing the conductance of electricity in specific situations (

  3. #3 peak

    -2018.Download⏎This study looked at the spatial and temporal patterns of lightning-ignited wildfires in Western Canada from 1981 to 2018. Studying patterns of lightning fires over

  4. #4 peak

    LEDs are all connected to the external cathode lead. To control each color, you need to apply a HIGH signal or VCC to the red, green, and blue leads and connect the anode lead to the negative terminal of the power supply

Connections

Show on map

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Fed by earlier layers

  1. L12:1087 strongly suppresses
  2. L11:1764 suppresses
  3. L12:385 suppresses
  4. L12:626 suppresses
  5. L12:1738 suppresses
  6. L12:1431 excites
  7. L11:231 suppresses
  8. L12:2059 excites
  9. L11:1378 suppresses
  10. L9:956 excites
  11. L12:1507 suppresses
  12. L11:1409 excites
  13. L12:1991 excites
  14. L12:466 suppresses
  15. L11:98 suppresses
  16. L12:1879 excites
  17. L12:705 excites
  18. L10:2428 excites
  19. L8:276 suppresses
  20. L11:3030 suppresses
  21. L10:745 suppresses
  22. L12:1210 suppresses
  23. L12:1909 suppresses
  24. L6:415 excites

Feeds later layers

  1. L15:1107 strongly excites
  2. L14:1782 suppresses
  3. L17:2065 excites
  4. L19:592 suppresses
  5. L15:2998 excites
  6. L17:1436 suppresses
  7. L20:686 suppresses
  8. L17:1848 excites
  9. L14:1571 suppresses
  10. L14:1600 excites
  11. L16:2403 suppresses
  12. L19:1348 suppresses
  13. L14:2379 suppresses
  14. L14:1161 suppresses
  15. L16:581 suppresses
  16. L14:1324 excites
  17. L14:1820 excites
  18. L17:772 suppresses
  19. L14:636 excites
  20. L17:2845 excites
  21. L15:1920 excites
  22. L22:653 suppresses
  23. L15:2403 suppresses
  24. L14:2499 excites

Activation histogram

How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.

1 values between -3.21 and -3.051 values between -3.05 and -2.892 values between -2.41 and -2.252 values between -2.09 and -1.942 values between -1.94 and -1.784 values between -1.78 and -1.622 values between -1.62 and -1.468 values between -1.46 and -1.309 values between -1.30 and -1.1411 values between -1.14 and -0.9828 values between -0.98 and -0.8248 values between -0.82 and -0.6674 values between -0.66 and -0.51138 values between -0.51 and -0.35312 values between -0.35 and -0.19880 values between -0.19 and -0.031748 values between -0.03 and 0.13386 values between 0.13 and 0.29141 values between 0.29 and 0.4545 values between 0.45 and 0.6132 values between 0.61 and 0.7711 values between 0.77 and 0.939 values between 0.93 and 1.086 values between 1.08 and 1.243 values between 1.24 and 1.401 values between 1.40 and 1.561 values between 1.72 and 1.881 values between 1.88 and 2.041 values between 2.04 and 2.201 values between 2.99 and 3.15offnegativepositiveoften

Logit lens

The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layers instead.

Promotes

  1. configs
  2. akah
  3. AppConfig
  4. 提案
  5. 读后
  6. çıkar
  7. 望着
  8. Idea
  9. -contained
  10. configs

Suppresses

  1. NSE
  2. leck
  3. WXYZ
  4. óż
  5. points
  6. .imwrite
  7. ISTRY
  8. Along
  9. osity
  10. isks